A non-intrusive load monitoring algorithm based on real-time feature extraction and deep learning model

A non-intrusive load monitoring algorithm based on real-time feature extraction and deep learning model

Researchers are increasingly interested in Non-intrusive Load Monitoring (NILM) as a cost-effective alternative to Intrusive Load Monitoring (ILM) for smart home energy monitoring. However, most NILM studies assume a fixed number of appliances and adjust classification models accordingly. This appro...

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Bibliographic Details
Main Authors: Behrooz Taheri, Mostafa Sedighizadeh, Mohammad Reza Nasiri, Alireza Sheikhi Fini
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:International Journal of Electrical Power & Energy Systems
Subjects:
Smart meter
Non-Intrusive load monitoring
Smart homes
Feature extraction
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0142061525001887
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